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All Journal CALYPTRA : Jurnal Ilmiah Mahasiswa Universitas Surabaya Citradirga : Jurnal Desain Komunikasi Visual dan Intermedia
Stefanus Wijaya
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Arts Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences

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Perancangan Video Dokumenter Kuliner Legendaris di Kota Malang Stefanus Wijaya; Didit Prasetyo Nugroho
Citradirga : Jurnal Desain Komunikasi Visual dan Intermedia Vol 1 No 02 (2019): Volume 01, Nomor 02, Oktober 2019
Publisher : Program Studi Desain Komunikasi Visual, Fakultas Sains dan Teknologi, Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/cd.v1i02.252

Abstract

Malang City is a famous tourist city because of its nature tourism and also its culinary tour. There’s plenty of culinary spots in Malang City that has been around since 50 years ago and has become legendary. Even so, the lack of conservation efforts and knowledges will make these culinary spots to become forgotten. thus, there are appropriate alternative media that can be used to introduce these legendary culinary spots. One of them is documentary video. Qualitative method is used for this design, qualitative data is gathered through observation, interviews and documentation. This design’s output is a documentary video entitled “Legenda Kuliner Malang: Ragam Rasa Ragam Budaya” with 8 minutes 44 seconds duration, and a teaser with 32 seconds duration. The concept of this video is to show the connection between culinary and culture. Also some secondary output such as x-banner, cover and CD label, hat, totebag, sticker, t-shirt, and postcard.
APLIKASI ANDROID DETEKSI SUPIR MENGANTUK PADA PENGENDARA MOBIL BERBASIS FACE RECOGNITION Stefanus Wijaya; Nemuel Daniel Pah; Rafina Destiarti Ainul
CALYPTRA Vol. 12 No. 1 (2023): Calyptra : Jurnal Ilmiah Mahasiswa Universitas Surabaya (November)
Publisher : Perpustakaan Universitas Surabaya

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Abstract

Abstract—Humans have always developed technology to make life easier. One of the technological developments made is land transportation. In the development of land transportation is also accompanied by an increase in the accident rate of drivers due to drowsiness. This drowsiness detection system is made using an Android-based smartphone where this technology is almost used in various walks of life so that it can help to provide direct warnings to drivers who are drowsy. The system uses Haar-Cascade Classifier to detect faces and eyes and utilizes the training model to determine whether the person is sleepy or not. System development using Android Studio with Java and Python programming languages. Based on system testing on 9 different faces with 120 frame samples per face, with 40 cm in distance, and an angle of 20⁰, the accuracy result is 85% during the day with a light intensity of 725 lux. Keywords: drowsiness detection, android, haar-cascade classifier Abstrak— Manusia selalu mengembangkan teknologi untuk mempermudah hidupnya. Salah satu perkembangan teknologi yang dibuat adalah transportasi darat. Dalam perkembangan transportasi darat ini juga ditemani dengan bertambahnya tingkat kecelakaan para pengemudi akibat mengantuk. Sistem pendeteksi kantuk ini dibuat dengan menggunakan smartphone berbasis Android dimana teknologi ini hampir digunakan diberbagai lapisan masyarakat sehingga dapat membantu untuk memberikan peringatan secara langsung pada pengemudi yang sedang mengantuk. Sistem yang dibuat menggunakan Haar-Cascade Classifier untuk mendeteksi wajah dan juga mata dan memanfaatkan model hasil pelatihan untuk menentukan apakah orang tersebut sedang mengantuk atau tidak. Pembuatan sistem dengan menggunakan Android Studio dengan bahasa pemrograman Java dan Python. Berdasarkan pengujian sistem pada 9 wajah berbeda dengan 120 sampel frame per wajah, jarak 40 cm, dan sudut 20⁰ mendapatkan hasil akurasi sebesar 85% pada siang hari dengan intensitas cahaya sebesar 725 lux. Kata kunci: deteksi kantuk, android, haar-cascade classifier
Co-Authors Nemuel Daniel Pah Nugroho, Didit Prasetyo Rafina Destiarti Ainul